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O C T O B E R 1 3 - 1 6 , 2 0 1 6 • A U S T I N , T X
Evolving to Open
Adopting Apache Solr for the Red Hat Customer Portal
Chris Bredesen
Manager, Software Engineering at Red Hat
@cbredesen
01
Hello!
$ rm -rf agenda
$
About Red Hat
● Largest open source company
● Subscription model
● Communities matter
Red Hat Customer Portal
● Apps, services & content
● Delivers subscriber value
● On-site search is critical
Search Infrastructure 1.0
Search Infrastructure 1.1
● More content from new sources
● Attempts to optimize crawling using
pushed feeds
● Desire for index-based browse UI
Growing Pains
● 150K+ documents w/per-document
licensing
● Want to add 10M+ more :-o
● OK for turn-key; lacks customizability
● Not suitable for browse
● Click-through not stellar
● Proprietary “black box”
Lucene
● Highly tuned recommendation engine
● Narrow focus, deep integration
● Back-testable against all
cases/solutions
● Success!
Search Infrastructure 2.0
Challenges
● Web search successful
● Internal search failed – crash and
burn on tokens like CVE-2001-001
● Underestimated indexer dev effort
● Indexers misbehaving has larger
impact
● Solr Java issues @ 10X load
Results
● Click through rate sustained @ 2X
● Query response consistently sub-
second (including our auth layer)
● Developers thrilled with API
2.0 Release
Future Plans
● Replace some custom indexer code with Fusion
● Signals API for active tuning
● Admin tooling for tuning, elevation, synonyms/spell-check
Discussion
Q&A

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Evolving to Open: Adopting Apache Solr for the Red Hat Customer Portal: Presented by Chris Bredesen, Red Hat

  • 1. O C T O B E R 1 3 - 1 6 , 2 0 1 6 • A U S T I N , T X
  • 2. Evolving to Open Adopting Apache Solr for the Red Hat Customer Portal Chris Bredesen Manager, Software Engineering at Red Hat @cbredesen
  • 4. About Red Hat ● Largest open source company ● Subscription model ● Communities matter
  • 5. Red Hat Customer Portal ● Apps, services & content ● Delivers subscriber value ● On-site search is critical
  • 7. Search Infrastructure 1.1 ● More content from new sources ● Attempts to optimize crawling using pushed feeds ● Desire for index-based browse UI
  • 8. Growing Pains ● 150K+ documents w/per-document licensing ● Want to add 10M+ more :-o ● OK for turn-key; lacks customizability ● Not suitable for browse ● Click-through not stellar ● Proprietary “black box”
  • 9. Lucene ● Highly tuned recommendation engine ● Narrow focus, deep integration ● Back-testable against all cases/solutions ● Success!
  • 11. Challenges ● Web search successful ● Internal search failed – crash and burn on tokens like CVE-2001-001 ● Underestimated indexer dev effort ● Indexers misbehaving has larger impact ● Solr Java issues @ 10X load
  • 12. Results ● Click through rate sustained @ 2X ● Query response consistently sub- second (including our auth layer) ● Developers thrilled with API 2.0 Release
  • 13. Future Plans ● Replace some custom indexer code with Fusion ● Signals API for active tuning ● Admin tooling for tuning, elevation, synonyms/spell-check